Computer Vision/Machine Learning Engineer (Low level CV)

ds: Machine learning based ISP; Low level object detection and segmentation; Multiple sensor fusion

Minimum Qualifications

• M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning

• Rich experiences in video machine learning covering one of the topics: Low level object detection and segmentation / ML-based ISP / Multi-sensory fusion / Multi-modal fusion in ISP

• Proven prototyping skills and proficient in coding (C, C++, Python)

• Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams

Preferred Qualifications

• Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)

• Industry experiences with multi-modal foundation model and frameworks

• Knowledge and understanding of generative AI, multi-modal large language model, video caption

• Solid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms

• Team oriented, result oriented, and self motivated

Submit Resume